ML Lead Engineer
TolokaAI Training company
RemoteLead
Bezos Expeditions
Nebius Group
Mikhail Parakhin
Data & AI
About the role
TL;DR
Lead ML initiatives integrating LLM and AI-agent technologies into client engagements.
- •Lead applied ML initiatives within the Delivery division, integrating LLM and AI-agent technologies into active client engagements with a focus on Anti-Fraud.
- •Key Responsibilities Design and deploy agentic workflows for data generation, evaluation, anti-fraud, and safety use cases.
- •Build judge models, auto-grading systems, and self-verification pipelines to codify acceptance criteria into repeatable checks.
- •Create reusable reference architectures, templates, and components to scale delivery across multiple client accounts.
- •Requirements Over 5-8 years of expertise in applied ML and LLM development, with a documented history of launching agentic workflows into production.
- •Strong background in building anti-fraud platforms, trust & safety systems, or real-time anomaly detection frameworks.
- •Extensive experience in building automated evaluation pipelines and grading systems to maintain consistency at scale.
Required skills
PythonLLMsTensorFlowPyTorchscikit-learnOpenAI APIAnthropic APIKubernetesCI/CDDockerAirflowPostgreSQLMySQLMongoDBRedis
Domain expertise
fintech
Benefits & perks
Competitive compensation package including base salary, bonus, and ESOP, Paid PTO, IT setup and home office allowances
Tech stack
PythonLLMsTensorFlowPyTorchscikit-learnOpenAI APIAnthropic APIKubernetesCI/CDDockerAirflowPostgreSQLMySQLMongoDBRedisAWSGitHub ActionsGitJiraConfluenceNotionExcelPowerPoint
